This is a workflow orchestrator that chains together dozens of AI-focused skills across seven phases: design, LLM integration, RAG implementation, agent development, ML pipelines, observability, and security. It's for when you're building production AI systems and need a structured path through the chaos of modern AI tooling. The bundle includes everything from prompt optimization and vector search setup to CrewAI multi-agent systems and Langfuse monitoring. What I appreciate is the copy-paste prompts for each phase, since remembering which skill handles LangGraph versus LangChain agents gets old fast. The checklist format keeps you honest about actually implementing observability before shipping.
- skills.sh installs
- 165
- GitHub stars
- 39.4K
- last updated
- Jun 3, 2026
Install
$ npx -y skills add sickn33/antigravity-awesome-skills --skill ai-ml --agent claude-codeInstalls into .claude/skills of the current project.
Files
AI/ML Workflow Bundle
Overview
Comprehensive AI/ML workflow for building LLM applications, implementing RAG systems, creating AI agents, and developing machine learning pipelines. This bundle orchestrates skills for production AI development.
When to Use This Workflow
Use this workflow when:
- Building LLM-powered applications
- Implementing RAG (Retrieval-Augmented Generation)
- Creating AI agents
- Developing ML pipelines
- Adding AI features to applications
- Setting up AI observability
Selection and completion
Select only phases needed for the requested product; this workflow does not authorize delegation, hosted calls, deployment, background jobs or external messages. Read the actual selected skill and available tool schema. Define task-level quality, retrieval/source checks, data permissions, latency/currency limits and failure recovery before implementation. Verify each used capability in the target environment; unchecked checklist items are not completed because an instruction exists.
Workflow Phases
Phase 1: AI Application Design
Sponsors
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- Repository
- github.com/sickn33/antigravity-awesome-skills
- Categories
- AI & Agent Building, Data Science & ML
- First seen
- Jun 3, 2026
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